Fengrui Liu

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Help Without Being Asked: A Deployed Proactive Agent System for On-Call Support with Continuous Self-Improvement.
CoRR, April, 2026

BISLearner: Block-Aware Index Selection using Attention-Based Reinforcement Learning for Data Analytics.
ACM Trans. Database Syst., March, 2026

CASTLE: A Comprehensive Benchmark for Evaluating Student-Tailored Personalized Safety in Large Language Models.
CoRR, February, 2026

An ISRJ Extraction and Elimination Method Using Phase Code Waveform for Synthetic Aperture Radar.
IEEE Signal Process. Lett., 2026

Arbiter: Towards joint and fine-grained index and partition tuning in analytical databases.
Inf. Process. Manag., 2026

From Physics to Representation: Audio Learning with Synthetic Pre-training via Procedural Generation.
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025
SMRC: Aligning Large Language Models with Student Reasoning for Mathematical Error Correction.
CoRR, November, 2025

EduAgentQG: A Multi-Agent Workflow Framework for Personalized Question Generation.
CoRR, November, 2025

Just-In-Time Piecewise-Linear Semantics for ReLU-type Networks.
CoRR, October, 2025

Two-stage identification of false data injection attacks in power systems via semi-supervised deep learning.
Appl. Soft Comput., 2025

Deep Feature Extraction Method for Automatic Classification and Processing of Accounting Information.
IEEE Access, 2025

Flow-of-Action: SOP Enhanced LLM-Based Multi-Agent System for Root Cause Analysis.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

TickIt: Leveraging Large Language Models for Automated Ticket Escalation.
Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering, 2025

2024
A Manta Ray-Inspired Fast-Swimming Soft Electrohydraulic Robotic Fish.
IEEE Robotics Autom. Lett., September, 2024

DOA Estimation Method Based on Unsupervised Learning Network With Threshold Capon Spectrum Weighted Penalty.
IEEE Signal Process. Lett., 2024

2023
AD2S: Adaptive anomaly detection on sporadic data streams.
Comput. Commun., September, 2023

Automatic feature learning model combining functional connectivity network and graph regularization for depression detection.
Biomed. Signal Process. Control., April, 2023

Triple:The Interpretable Deep Learning Anomaly Detection Framework based on Trace-Metric-Log of Microservice.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Grace: Interpretable Root Cause Analysis by Graph Convolutional Network for Microservices.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

2022
AD2S experiments.
Dataset, December, 2022

MicroCBR: Case-Based Reasoning on Spatio-temporal Fault Knowledge Graph for Microservices Troubleshooting.
Proceedings of the Case-Based Reasoning Research and Development, 2022

2021
Bitcoin transaction strategy construction based on deep reinforcement learning.
Appl. Soft Comput., 2021

DSQNet: Domain SeQuence based Deep Neural Network for AGDs Detection.
Proceedings of the IEEE Symposium on Computers and Communications, 2021

CyCo: A Temporal Cycle Consistency Based Labeling Method for Time Series Data.
Proceedings of the International Joint Conference on Neural Networks, 2021

An Accuracy Network Anomaly Detection Method Based on Ensemble Model.
Proceedings of the IEEE International Conference on Acoustics, 2021

EEG-Based Depression Recognition Using Intrinsic Time-scale Decomposition and Temporal Convolution Network.
Proceedings of the BIBE 2021: The Fifth International Conference on Biological Information and Biomedical Engineering, 2021

2019
An improved SIFT algorithm based on adaptive fractional differential.
J. Ambient Intell. Humaniz. Comput., 2019

2017
A Topology-Aware Reliable Broadcast Scheme for Multidimensional VANET Scenarios.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2017


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